Hi, I want to run simple conv2d layer training using C++ API of TF Lite. I’ve used
examples/minimal project as reference. Calling
trainer->invoke() leads to next error:
ERROR: TensorFlow Lite Error: Select TensorFlow op(s), included in the given model is(are) not supported by this interpreter. Make sure you apply/link Flex delegate before inference. For the Android, it can be resolved by adding “org.tensorflow:tensorflow-lite-select-tf-ops” dependency…
ERROR: Node number 48 (FlexConv2DBackpropFilter) failed to prepare.
I didn’t find any good tutorial on Flex delegate. Please, tell me, how to build TF Lite with Flex using CMake and how to make this interpreter use Flex’s implementation of this node. Thanks